Debarpan98
Motivated Data Scientist passionate about solving real-world problems and developing production-grade solutions using Machine learning algorithms
Kent Imaging IncCalgary
Pinned Repositories
ANFIS-classification
Classification of HRCT images of the lungs based using Adaptive Neuro Fuzzy Inference System (ANFIS) classifier. This was done as a part of my 2nd year's summer internship under the guidance of Professor Sudipta Mikhopadhyay at IIT Kharagpur
LSTM-timeSeries
Mitacs-Summer-Project
Automatic segmentation of Hepatocellular carcinoma based on Deep learning and Convolutional Neural Networks : This project was done during my Mitacs GRI ,2019 under the supervision of Dr. Eran Ukwatta at University of Guelph
OpenMatlabFigureInOctave
A very simple .m file to read a .fig file and plot it in Octave.
py-wsi
Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
retSeg_dehaze
Retinal Vessel Segmentation of Dehazed Fundus Images
segment_aws
Social-network-analysis
tweet_emotion_tf
The-Green-AI-Foundation
Debarpan98's Repositories
Debarpan98/Mitacs-Summer-Project
Automatic segmentation of Hepatocellular carcinoma based on Deep learning and Convolutional Neural Networks : This project was done during my Mitacs GRI ,2019 under the supervision of Dr. Eran Ukwatta at University of Guelph
Debarpan98/retSeg_dehaze
Retinal Vessel Segmentation of Dehazed Fundus Images
Debarpan98/ANFIS-classification
Classification of HRCT images of the lungs based using Adaptive Neuro Fuzzy Inference System (ANFIS) classifier. This was done as a part of my 2nd year's summer internship under the guidance of Professor Sudipta Mikhopadhyay at IIT Kharagpur
Debarpan98/LSTM-timeSeries
Debarpan98/OpenMatlabFigureInOctave
A very simple .m file to read a .fig file and plot it in Octave.
Debarpan98/py-wsi
Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
Debarpan98/segment_aws
Debarpan98/Social-network-analysis
Debarpan98/tweet_emotion_tf